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Repeatable quality checks

Checklists for validating analytics work.

A checklist supports a repeatable review; it does not replace technical investigation. Each check should identify what to inspect, what a valid result looks like, and when to investigate further.

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01

What a useful checklist covers

Checks should be specific enough to verify, while making clear where a result depends on the site or business setup.

  • Configuration and data collection
  • Event, parameter, and transaction consistency
  • Testing, documentation, and follow-up
02

How to apply a checklist

Use a safe test path where possible, record evidence, and distinguish a failed check from a difference that is expected for the implementation.

  • Check the current specification first
  • Capture reproducible evidence
  • Avoid changing production settings before impact is understood